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hf-model-card

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Aktualisiert17. Juli 2026 um 02:57

Draft or refresh a Hugging Face model card (MODEL_CARD.md / README model section). Use when publishing BitNet/trit/HF checkpoints or training runs.

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Quelle

tzervas

tzervas/tz-forge

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Verwandte BerufeSOC

Basierend auf der SOC-Berufsklassifikation

SoftwareentwicklerInformatik- und Mathematikberufe·SOC 15-1252

SKILL.md

readonly

name	hf-model-card
description	Draft or refresh a Hugging Face model card (MODEL_CARD.md / README model section). Use when publishing BitNet/trit/HF checkpoints or training runs.
metadata	{"author":"tz-forge","version":"1.0","domain":"ml"}
allowed-tools	Bash(git:) Bash(huggingface-cli:) Bash(python:*)

HF model card

When to use

Publishing a checkpoint to Hugging Face Hub (tzervas/*)
Opening a PR that adds training artifacts
Operator BitNet / hybrid / trit models needing license + data notes

Steps

Prefer existing MODEL_CARD.md or HF YAML front-matter in README.md.
Fill: architecture, intended use, training data + licenses, eval metrics, limitations.
Cite code repo: https://github.com/tzervas/{{project}} when known.
Never embed secrets, tokens, or private dataset URLs.
If card is a stub from tz-forge, expand product-specific sections before upload.

Checklist

License declared (MIT / Apache-2.0 / other)
Training data provenance listed
Evaluation numbers or "not evaluated" honest note
No credentials in card or git history

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name	hf-model-card
description	Draft or refresh a Hugging Face model card (MODEL_CARD.md / README model section). Use when publishing BitNet/trit/HF checkpoints or training runs.
metadata	{"author":"tz-forge","version":"1.0","domain":"ml"}
allowed-tools	Bash(git:) Bash(huggingface-cli:) Bash(python:*)

HF model card

When to use

Publishing a checkpoint to Hugging Face Hub (tzervas/*)
Opening a PR that adds training artifacts
Operator BitNet / hybrid / trit models needing license + data notes

Steps

Prefer existing MODEL_CARD.md or HF YAML front-matter in README.md.
Fill: architecture, intended use, training data + licenses, eval metrics, limitations.
Cite code repo: https://github.com/tzervas/{{project}} when known.
Never embed secrets, tokens, or private dataset URLs.
If card is a stub from tz-forge, expand product-specific sections before upload.

Checklist

License declared (MIT / Apache-2.0 / other)
Training data provenance listed
Evaluation numbers or "not evaluated" honest note
No credentials in card or git history